2020
DOI: 10.1371/journal.pone.0235537
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The use of Unmanned Aerial Vehicles (UAVs) to sample the blow microbiome of small cetaceans

Abstract: Recent studies describe the use of UAVs in collecting blow samples from large whales to analyze the microbial and viral community in exhaled air. Unfortunately, attempts to collect blow from small cetaceans have not been successful due to their swimming and diving behavior. In order to overcome these limitations, in this study we investigated the application of a specific sampling tool attached to a UAV to analyze the blow from small cetaceans and their respiratory microbiome. Preliminary trials to set up the … Show more

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Cited by 31 publications
(24 citation statements)
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“…Among odontocetes, to the authors' knowledge, drones have only been implemented to study a few species of dolphins. Example applications have included identifying dolphin presence and habitat use [137][138][139][140][141][142].…”
Section: Traits Of Dolphinsmentioning
confidence: 99%
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“…Among odontocetes, to the authors' knowledge, drones have only been implemented to study a few species of dolphins. Example applications have included identifying dolphin presence and habitat use [137][138][139][140][141][142].…”
Section: Traits Of Dolphinsmentioning
confidence: 99%
“…In contrast, customised drones allow for more dedicated research to be conducted but requires more specialised piloting experience. For example, custom appendages have been implemented on multirotor drones to allow the collection of dolphin microbiome to study dolphin health [141,142].…”
Section: Drone Selection For Dolphin Researchmentioning
confidence: 99%
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“…Some rare cases attempted to monitor animals in a nonoptical manner, and bioacoustic detection and classification are used with pattern recognition [ 73 ] or the means to acquire samples originated from wild animals [ 74 , 75 , 76 , 77 ]. It can be complicated to combine the bioacoustic approach with an RPAS due to the operational noise of the aircraft.…”
Section: Rpas Application For Wild Animal Detection and Monitoringmentioning
confidence: 99%